1.前置条件

2.新建模块SAA-02Ollama

pom文件如下

<?xml version="1.0" encoding="UTF-8"?>
<project xmlns="http://maven.apache.org/POM/4.0.0"
         xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
         xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
    <modelVersion>4.0.0</modelVersion>
    <parent>
        <groupId>com.hf.hong</groupId>
        <artifactId>SpringAIAlibaba-v1</artifactId>
        <version>1.0-SNAPSHOT</version>
    </parent>

    <artifactId>SAA-02Ollama</artifactId>

    <properties>
        <maven.compiler.source>21</maven.compiler.source>
        <maven.compiler.target>21</maven.compiler.target>
        <project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
    </properties>

    <dependencies>
        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-web</artifactId>
        </dependency>
        <!--spring-ai-alibaba dashscope-->
        <dependency>
            <groupId>com.alibaba.cloud.ai</groupId>
            <artifactId>spring-ai-alibaba-starter-dashscope</artifactId>
        </dependency>
        <!--lombok-->
        <dependency>
            <groupId>org.projectlombok</groupId>
            <artifactId>lombok</artifactId>
            <optional>true</optional>
        </dependency>
        <!--hutool-->
        <dependency>
            <groupId>cn.hutool</groupId>
            <artifactId>hutool-all</artifactId>
            <version>5.8.22</version>
        </dependency>
        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-test</artifactId>
            <scope>test</scope>
        </dependency>
        <!--ollama-->
        <dependency>
            <groupId>org.springframework.ai</groupId>
            <artifactId>spring-ai-starter-model-ollama</artifactId>
            <version>1.0.0</version>
        </dependency>
    </dependencies>

    <build>
        <plugins>
            <plugin>
                <groupId>org.springframework.boot</groupId>
                <artifactId>spring-boot-maven-plugin</artifactId>
            </plugin>
            <plugin>
                <groupId>org.apache.maven.plugins</groupId>
                <artifactId>maven-compiler-plugin</artifactId>
                <version>3.11.0</version>
                <configuration>
                    <compilerArgs>
                        <arg>-parameters</arg>
                    </compilerArgs>
                    <source>21</source>
                    <target>21</target>
                </configuration>
            </plugin>
        </plugins>
    </build>

    <repositories>
        <repository>
            <id>spring-milestones</id>
            <name>Spring Milestones</name>
            <url>https://repo.spring.io/milestone</url>
            <snapshots>
                <enabled>false</enabled>
            </snapshots>
        </repository>
    </repositories>

</project>

3.配置文件

server.port=8002

#大模型对话中文乱码UTF8编码处理
server.servlet.encoding.enabled=true
server.servlet.encoding.force=true
server.servlet.encoding.charset=UTF-8

spring.application.name=SAA-02Ollama

# ====SpringAIAlibaba Config=============
spring.ai.dashscope.api-key=${aliQwen-api}
#spring.ai.dashscope.base-url=https://dashscope.aliyuncs.com/compatible-mode/v1
#spring.ai.dashscope.chat.options.model=qwen-plus
#spring.ai.dashscope.chat.options.model=deepseek-v3.2
spring.ai.ollama.base-url=http://localhost:11434
spring.ai.ollama.chat.model=qwen3:4b

4.编写OllamaController

package com.hf.hong.controller;

import jakarta.annotation.Resource;
import org.springframework.ai.chat.model.ChatModel;
import org.springframework.web.bind.annotation.GetMapping;
import org.springframework.web.bind.annotation.RequestParam;
import org.springframework.web.bind.annotation.RestController;
import reactor.core.publisher.Flux;

/**
 *
 * @author admin
 * @date 2025/12/28 21:19
 * @description: Ollama接入
 */
@RestController
public class OllamaController {
    @Resource //阿里云百炼
    private ChatModel dashScopeChatModel;

    @GetMapping("/ollama/dochat")
    public String doChat(@RequestParam(name = "msg",defaultValue = "你是谁") String msg)
    {
        String result = dashScopeChatModel.call(msg);
        System.out.println("响应：" + result);
        return result;
    }

    @GetMapping("/ollama/streamchat")
    public Flux<String> streamChat(@RequestParam(name = "msg",defaultValue = "你是谁") String msg)
    {
        return dashScopeChatModel.stream(msg);
    }
}

5.启动测试

原因分析

解决方案1


解决方案2